Chemometrics And Intelligent Laboratory Systems

SCI SCIE

国际简称：CHEMOMETR INTELL LAB 参考译名：化学计量学和智能实验室系统

主要研究方向：工程技术-分析化学非预警期刊审稿周期：约3.0个月

《化学计量学和智能实验室系统》(Chemometrics And Intelligent Laboratory Systems)是一本由Elsevier出版的以工程技术-分析化学为研究特色的国际期刊，发表该领域相关的原创研究文章、评论文章和综述文章，及时报道该领域相关理论、实践和应用学科的最新发现，旨在促进该学科领域科学信息的快速交流。该期刊是一本未开放期刊，近三年没有被列入预警名单。该期刊享有很高的科学声誉，影响因子不断增加，发行量也同样高。

2区中科院分区
Q1 JCR分区
222 年发文量
3.8 IF影响因子
未开放 是否OA
109 H-index
1986 创刊年份
Bimonthly 出版周期
English 出版语言

Chemometrics and Intelligent Laboratory Systems publishes original research papers, short communications, reviews, tutorials and Original Software Publications reporting on development of novel statistical, mathematical, or computer techniques in Chemistry and related disciplines.

Chemometrics is the chemical discipline that uses mathematical and statistical methods to design or select optimal procedures and experiments, and to provide maximum chemical information by analysing chemical data.

The journal deals with the following topics:

1) Development of new statistical, mathematical and chemometrical methods for Chemistry and related fields (Environmental Chemistry, Biochemistry, Toxicology, System Biology, -Omics, etc.)

2) Novel applications of chemometrics to all branches of Chemistry and related fields (typical domains of interest are: process data analysis, experimental design, data mining, signal processing, supervised modelling, decision making, robust statistics, mixture analysis, multivariate calibration etc.) Routine applications of established chemometrical techniques will not be considered.

3) Development of new software that provides novel tools or truly advances the use of chemometrical methods.

4) Well characterized data sets to test performance for the new methods and software.

The journal complies with International Committee of Medical Journal Editors' Uniform requirements for manuscripts.

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Chemometrics And Intelligent Laboratory Systems期刊信息

ISSN：0169-7439
出版语言：English
是否OA：未开放
E-ISSN：1873-3239
出版地区：NETHERLANDS
是否预警：否
出版商：Elsevier
出版周期：Bimonthly
创刊时间：1986
开源占比：0.0894
Gold OA文章占比：25.39%
OA被引用占比：0.0114...
出版国人文章占比：0.28
出版撤稿占比：0
研究类文章占比：98.65%

Chemometrics And Intelligent Laboratory Systems CiteScore评价数据（2026年6月最新版）

CiteScore

SJR

SNIP

CiteScore 指数

7.7

0.608

1.15

学科类别	分区	排名	百分位
大类：Chemistry 小类：Spectroscopy	Q1	15 / 81	82%
大类：Chemistry 小类：Computer Science Applications	Q1	212 / 1022	79%
大类：Chemistry 小类：Software	Q1	108 / 503	78%
大类：Chemistry 小类：Analytical Chemistry	Q2	41 / 160	74%
大类：Chemistry 小类：Process Chemistry and Technology	Q2	28 / 84	67%

名词解释：CiteScore 是衡量期刊所发表文献的平均受引用次数，是在 Scopus 中衡量期刊影响力的另一个指标。当年CiteScore 的计算依据是期刊最近4年（含计算年度）的被引次数除以该期刊近四年发表的文献数。例如，2022年的 CiteScore 计算方法为：2022年的 CiteScore =2019-2022年收到的对2019-2022年发表的文件的引用数量÷2019-2022年发布的文献数量注：文献类型包括：文章、评论、会议论文、书籍章节和数据论文。

Chemometrics And Intelligent Laboratory Systems中科院评价数据

《新锐期刊分区表》（2026年3月发布）

Top期刊	综述期刊	大类学科		小类学科
否	否	化学	2区	AUTOMATION & CONTROL SYSTEMS 自动化与控制系统 CHEMISTRY, ANALYTICAL 分析化学 COMPUTER SCIENCE, ARTIFICIAL INTELLIGENCE 计算机：人工智能 INSTRUMENTS & INSTRUMENTATION 仪器仪表 MATHEMATICS, INTERDISCIPLINARY APPLICATIONS 数学跨学科应用 STATISTICS & PROBABILITY 统计学与概率论	3区 2区 3区 3区 3区 2区

Chemometrics And Intelligent Laboratory Systems JCR评价数据

2025-2026年最新版

按JCI指标学科分区	收录子集	分区	排名	百分位
学科：AUTOMATION & CONTROL SYSTEMS	SCIE	Q2	27 / 88	69.9
学科：CHEMISTRY, ANALYTICAL	SCIE	Q2	39 / 110	65
学科：COMPUTER SCIENCE, ARTIFICIAL INTELLIGENCE	SCIE	Q2	97 / 210	54
学科：INSTRUMENTS & INSTRUMENTATION	SCIE	Q2	26 / 81	68.5
学科：MATHEMATICS, INTERDISCIPLINARY APPLICATIONS	SCIE	Q1	17 / 137	88
学科：STATISTICS & PROBABILITY	SCIE	Q1	12 / 170	93.2
学科：AUTOMATION & CONTROL SYSTEMS	SCIE	Q1	18 / 88	80.11
学科：CHEMISTRY, ANALYTICAL	SCIE	Q1	23 / 110	79.55
学科：COMPUTER SCIENCE, ARTIFICIAL INTELLIGENCE	SCIE	Q1	47 / 210	77.86
学科：INSTRUMENTS & INSTRUMENTATION	SCIE	Q1	12 / 81	85.8
学科：MATHEMATICS, INTERDISCIPLINARY APPLICATIONS	SCIE	Q1	23 / 137	83.58
学科：STATISTICS & PROBABILITY	SCIE	Q1	18 / 170	89.71

Chemometrics And Intelligent Laboratory Systems历年数据统计

影响因子

中科院分区

Chemometrics And Intelligent Laboratory Systems中国学者发文选摘

1、A novel adaptive multi-scale collaborative model for industrial soft sensing with scarce labeled dat
Author: Liu, Shuoji; Chen, Lei; Wang, Hengqian; Hao, Kuangrong; Chen, Shan

Journal: CHEMOMETRICS AND INTELLIGENT LABORATORY SYSTEMS. 2026; Vol. 274, Issue , pp. -. DOI: 10.1016/j.chemolab.2026.105717
2、Textile color grading using an improved Siamese network and hyperspectral technolog
Author: Ren, Yuqi; Liu, Jinxia; Cheng, Yatao; Yang, Xiandong; Men, Hong; Shi, Yan

Journal: CHEMOMETRICS AND INTELLIGENT LABORATORY SYSTEMS. 2026; Vol. 273, Issue , pp. -. DOI: 10.1016/j.chemolab.2026.105713
3、Addressing concept drift in wastewater treatment: a data-driven solution for predictive control and energy optimizatio
Author: Xuan, Yipeng; Zheng, Zhi; Wang, Hao; Han, Fei; Wang, Peng; Lu, Zhanxiong; Yu, Zhongbin; Si, Qiaorui

Journal: CHEMOMETRICS AND INTELLIGENT LABORATORY SYSTEMS. 2026; Vol. 273, Issue , pp. -. DOI: 10.1016/j.chemolab.2026.105714
4、NIR spectrogram reconstruction - Augmented CNN for high-accuracy analysis of alcohol-diesel blen
Author: Liu, Shiyu; Zhang, Xinyue; Wang, Liming; Chen, Xuri; Liu, Xuan; Fang, Lide

Journal: CHEMOMETRICS AND INTELLIGENT LABORATORY SYSTEMS. 2026; Vol. 273, Issue , pp. -. DOI: 10.1016/j.chemolab.2026.105687
5、Feature-consistent cyclic domain adversarial network for unsupervised transfer diagnosis of the autoimmune disease IgG4-RD by Raman spectroscop
Author: Zhang, Ziyang; Chen, Cheng; Qin, Wentao; Wu, Xue; Liu, Yang; Wu, Lijun; Lv, Xiaoyi; Chang, Chenjie; Chen, Xinya; Chen, Zhiyuan; Xu, Qianxi; Li, Zhuoyu; Ma, Mengsi; Chen, Chen

Journal: CHEMOMETRICS AND INTELLIGENT LABORATORY SYSTEMS. 2026; Vol. 273, Issue , pp. -. DOI: 10.1016/j.chemolab.2026.105703
6、Cardiotoxicity prediction of compounds based on multi-graph and multi-dimensional representation
Author: Liang, Kairui; Wang, Ruihong; Qin, Dongya

Journal: CHEMOMETRICS AND INTELLIGENT LABORATORY SYSTEMS. 2026; Vol. 273, Issue , pp. -. DOI: 10.1016/j.chemolab.2026.105704
7、CMFFS-LIBS: A comprehensive machine learning framework for magnesium quantification in alloys using LIBS with picosecond and nanosecond laser
Author: Wang, Chengyun; Huang, Yuqiao; Liu, Lei; Yi, Zhaoxi; Wang, Yi; Gu, Jie; Xiao, Weixin; Song, Weiming; Duan, Ji'an

Journal: CHEMOMETRICS AND INTELLIGENT LABORATORY SYSTEMS. 2026; Vol. 273, Issue , pp. -. DOI: 10.1016/j.chemolab.2026.105705
8、VLMST: Variable-length multi-instance spatio-temporal model for tumbler index prediction in sinterin
Author: Peng, Zitang; Huang, Xiaoxian; Fan, Xiaohui; Chen, Xulin; Feng, Zhenxiang; Gan, Min; Li, Ruijie; Liao, Zhuozhang

Journal: CHEMOMETRICS AND INTELLIGENT LABORATORY SYSTEMS. 2026; Vol. 273, Issue , pp. -. DOI: 10.1016/j.chemolab.2026.105692